Moore’s law predicted the doubling of transistors every two years, and the processor industry has experienced this curve till it reached the limits of physical properties – therefore, Moore’s law will no longer be relevant to the future of new technologies, to the same extent that it has been in the past [1]}, [2]}, [3]}, [4]}. HPC has entered into the early stages of a post-Moore era, and we have also seen significant advances in forms of massively parallel and hybrid forms of scalable computing. The underlying technologies have proven their worth and are well understood, leading to the greatest need: satisfy a broad range of domain specific big data and voluminous algorithmic processing. We posit that its future is going to be relatively more strongly driven by an expansion the breadth of HPC applications across domains, rather than intensifying the vertical implementation of hardware improvements for marginal benefits in size and speed. This is supported by a growing demand for newer HPC applications, and relatively dwarfed demand for more sophisticated hardware. The success of cloud based computing services such as Amazon Web Services (AWS) attest this perspective on current trends. Therefore, HPC availability and usability strategies must be revised to cater to a broad range of disciplines, many of which will be traditionally non-computation-intensive disciplines. Development of HPC usability strategies, and HPC education modules in particular, will have a significant impact on HPC democratization and productivity.
